Dataset Information

Efficient imaging and computer vision detection of two cell shapes in young cotton fibers.

ABSTRACT:

Premise

The shape of young cotton (Gossypium) fibers varies within and between commercial cotton species, as revealed by previous detailed analyses of one cultivar of G. hirsutum and one of G. barbadense. Both narrow and wide fibers exist in G. hirsutum cv. Deltapine 90, which may impact the quality of our most abundant renewable textile material. More efficient cellular phenotyping methods are needed to empower future research efforts.

Methods

We developed semi-automated imaging methods for young cotton fibers and a novel machine learning algorithm for the rapid detection of tapered (narrow) or hemisphere (wide) fibers in homogeneous or mixed populations.

Results

The new methods were accurate for diverse accessions of G. hirsutum and G. barbadense and at least eight times more efficient than manual methods. Narrow fibers dominated in the three G. barbadense accessions analyzed, whereas the three G. hirsutum accessions showed a mixture of tapered and hemisphere fibers in varying proportions.

Discussion

The use or adaptation of these improved methods will facilitate experiments with higher throughput to understand the biological factors controlling the variable shapes of young cotton fibers or other elongating single cells. This research also enables the exploration of links between early cell shape and mature cotton fiber quality in diverse field-grown cotton accessions.

SUBMITTER: Graham BP

PROVIDER: S-EPMC9742826 | biostudies-literature | 2022 Nov-Dec

REPOSITORIES: biostudies-literature

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Publications

Efficient imaging and computer vision detection of two cell shapes in young cotton fibers.

Graham Benjamin P BP Park Jeremy J Billings Grant T GT Hulse-Kemp Amanda M AM Haigler Candace H CH Lobaton Edgar E

Applications in plant sciences 20221126 6

<h4>Premise</h4>The shape of young cotton (<i>Gossypium</i>) fibers varies within and between commercial cotton species, as revealed by previous detailed analyses of one cultivar of <i>G. hirsutum</i> and one of <i>G. barbadense</i>. Both narrow and wide fibers exist in <i>G. hirsutum</i> cv. Deltapine 90, which may impact the quality of our most abundant renewable textile material. More efficient cellular phenotyping methods are needed to empower future research efforts.<h4>Methods</h4>We devel ...[more]

PMID: 36518948

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Dataset Information

Efficient imaging and computer vision detection of two cell shapes in young cotton fibers.

Premise

Methods

Results

Discussion

Publications

Efficient imaging and computer vision detection of two cell shapes in young cotton fibers.

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